DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

13 March 2017

Ruiming Tang

Papers citing "DeepFM: A Factorization-Machine based Neural Network for CTR Prediction"

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Title
Graph Neural Network contextual embedding for Deep Learning on Tabular Data Mario Villaizán-Vallelado Matteo Salvatori B. Carro Antonio J. Sánchez-Esguevillas AI4CE LMTD 30 14 0 11 Mar 2023
Uncertainty-Aware Instance Reweighting for Off-Policy Learning Xiaoying Zhang Junpu Chen Hongning Wang Hong Xie Yang Liu John C. S. Lui Hang Li OffRL 80 4 0 11 Mar 2023
Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed ML Training W. Tan Xiao Shi Cunchi Lv Xiaofang Zhao FedML 31 1 0 09 Mar 2023
KDSM: An uplift modeling framework based on knowledge distillation and sample matching Chang Sun Qianying Li Guanxiang Wang S. Xu Yitong Liu 22 0 0 06 Mar 2023
Adaptive Interventions for Global Health: A Case Study of Malaria África Periánez A. Trister Madhav Nekkar Ana Fernández del Río P. Alonso 27 1 0 03 Mar 2023
AutoMatch: A Large-scale Audio Beat Matching Benchmark for Boosting Deep Learning Assistant Video Editing Sen Pei Jingya Yu Qi Chen Wozhou He 46 3 0 03 Mar 2023
Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation Shuai Xiao Zaifan Jiang Shuang Yang 14 3 0 03 Mar 2023
Effective Visualization and Analysis of Recommender Systems Hao Wang 15 1 0 02 Mar 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables Jaehyun Nam Jihoon Tack Kyungmin Lee Hankook Lee Jinwoo Shin LMTD SSL 26 31 0 02 Mar 2023
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System Chao Xue Wei Liu Shunxing Xie Zhenfang Wang Jiaxing Li ... Shi-Yong Chen Yibing Zhan Jing Zhang Chaoyue Wang Dacheng Tao 43 2 0 01 Mar 2023
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation Guoqiang Sun Yibin Shen Sijing Zhou Xiang Chen Hongyan Liu Chunming Wu Chenyi Lei Xianhui Wei Fei Fang 20 10 0 28 Feb 2023
Item Cold Start Recommendation via Adversarial Variational Auto-encoder Warm-up Shenzheng Zhang Qiurong Tan Xinzhi Zheng Yi Ren Xunming Zhao 16 0 0 28 Feb 2023
mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization Kayhan Behdin Qingquan Song Aman Gupta S. Keerthi Ayan Acharya Borja Ocejo Gregory Dexter Rajiv Khanna D. Durfee Rahul Mazumder AAML 18 7 0 19 Feb 2023
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning Sirui Ding Ruixiang Tang Daochen Zha Na Zou Kai Zhang Xiaoqian Jiang Xia Hu 31 9 0 18 Feb 2023
Semi-decentralized Federated Ego Graph Learning for Recommendation Liang Qu Ningzhi Tang Ruiqi Zheng Quoc Viet Hung Nguyen Zi Huang Yuhui Shi Hongzhi Yin FedML 77 51 0 10 Feb 2023
Multi-Task Recommendations with Reinforcement Learning Ziru Liu Jiejie Tian Qingpeng Cai Xiangyu Zhao Jingtong Gao ... Da Chen Tonghao He Dong Zheng Peng Jiang Kun Gai 38 41 0 07 Feb 2023
PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce Xiaowen Shi Fan Yang Ze Wang Xiaoxu Wu Muzhi Guan Guogang Liao Yongkang Wang Xingxing Wang Dong Wang 19 3 0 06 Feb 2023
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking Shanlei Mu Penghui Wei Wayne Xin Zhao Shaoguo Liu Liangji Wang Bo Zheng 30 4 0 06 Feb 2023
Two-Stage Constrained Actor-Critic for Short Video Recommendation Qingpeng Cai Zhenghai Xue Chi Zhang Wanqi Xue Shuchang Liu ... Tianyou Zuo Wentao Xie Dong Zheng Peng Jiang Kun Gai OffRL CML 24 44 0 03 Feb 2023
Clustered Embedding Learning for Recommender Systems Yizhou Chen Guangda Huzhang Anxiang Zeng Qingtao Yu Hui Sun Hengyi Li Jingyi Li Yabo Ni Han Yu Zhiming Zhou 29 9 0 03 Feb 2023
A Deep Behavior Path Matching Network for Click-Through Rate Prediction Jian Dong Yisong Yu Yapeng Zhang Yimin Lv Shuli Wang Beihong Jin Yongkang Wang Xingxing Wang Dong Wang HAI 14 4 0 01 Feb 2023
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning Xin Dong Ruize Wu Chao Xiong Hai Li Lei Cheng Yong He Shiyou Qian Jian Cao Linjian Mo 11 4 0 31 Jan 2023
Causality-based CTR Prediction using Graph Neural Networks Panyu Zhai Yanwu Yang Chun-Hui Zhang CML GNN 29 31 0 30 Jan 2023
Decision-Making Context Interaction Network for Click-Through Rate Prediction Xiang Li Shuwei Chen Jian Dong Jin Zhang Yongkang Wang Xingxing Wang Dong Wang 21 9 0 29 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 42 2 0 26 Jan 2023
Disentangled Representation for Diversified Recommendations Xiaoying Zhang Hongning Wang Hang Li CML 28 11 0 13 Jan 2023
Fair Recommendation by Geometric Interpretation and Analysis of Matrix Factorization Hao Wang 16 5 0 10 Jan 2023
ExcelFormer: A neural network surpassing GBDTs on tabular data Jintai Chen Jiahuan Yan Qiyuan Chen Danny Chen Jian Wu Jimeng Sun LMTD 43 22 0 07 Jan 2023
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations Xuewen Tao Mingming Ha Xiaobo Guo Qiongxu Ma Ho Kei Cheng Wenfang Lin 21 0 0 06 Jan 2023
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction Yachen Yan Liubo Li 14 3 0 06 Jan 2023
xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions Yachen Yan Liubo Li 26 9 0 03 Jan 2023
DynInt: Dynamic Interaction Modeling for Large-scale Click-Through Rate Prediction Yachen Yan Liubo Li 24 0 0 03 Jan 2023
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents Meng Xiao Dongjie Wang Min-Ying Wu Ziyue Qiao P. Wang Kunpeng Liu Yuanchun Zhou Yanjie Fu 49 20 0 27 Dec 2022
Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems Jill-Jênn Vie Tomas Rigaux H. Kashima BDL 18 1 0 20 Dec 2022
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction Shiwei Li Huifeng Guo Luyao Hou Wei Zhang Xing Tang Ruiming Tang Rui Zhang Rui Li MQ 129 9 0 12 Dec 2022
Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization Kayhan Behdin Qingquan Song Aman Gupta D. Durfee Ayan Acharya S. Keerthi Rahul Mazumder AAML 31 5 0 07 Dec 2022
Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising Zhimeng Jiang Kaixiong Zhou Mi Zhang Rui Chen Xia Hu Soo-Hyun Choi 19 2 0 06 Dec 2022
Pareto Pairwise Ranking for Fairness Enhancement of Recommender Systems Hao Wang 19 4 0 06 Dec 2022
PoissonMat: Remodeling Matrix Factorization using Poisson Distribution and Solving the Cold Start Problem without Input Data Hao Wang 14 10 0 06 Dec 2022
CL4CTR: A Contrastive Learning Framework for CTR Prediction Fang Wang Yingxu Wang Dongsheng Li Hansu Gu T. Lu Peng-Zhen Zhang Ning Gu SSL 20 42 0 01 Dec 2022
HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning Pengyu Qiu Xuhong Zhang S. Ji Chong Fu Xing Yang Ting Wang FedML AAML 30 12 0 01 Dec 2022
Hijack Vertical Federated Learning Models As One Party Pengyu Qiu Xuhong Zhang Shouling Ji Changjiang Li Yuwen Pu Xing Yang Ting Wang FedML 24 4 0 01 Dec 2022
T2G-Former: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction Jiahuan Yan Jintai Chen YiXuan Wu Danny Chen Jian Wu 30 35 0 30 Nov 2022
Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs Wenbin Gan Minh-Son Dao K. Zettsu 16 3 0 23 Nov 2022
AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR Prediction Jinyun Li Huiwen Zheng Yuan-Cheng Liu Minfang Lu Lixia Wu Haoyuan Hu 44 7 0 22 Nov 2022
BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service Boya Du Shaochuan Lin Jiong Gao Xiyu Ji Mengya Wang Taotao Zhou Hengxu He Jia Jia Ning Hu 20 6 0 22 Nov 2022
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm Jie Chen Zilong Li Ying Zhu Junping Zhang Jian Pu 36 8 0 21 Nov 2022
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation Zhen Tian Ting Bai Ziyan Zhang Zhiyuan Xu Kangyi Lin Ji-Rong Wen Wayne Xin Zhao 29 18 0 21 Nov 2022
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction Quanyu Dai Haoxuan Li Peng Wu Zhenhua Dong Xiao-Hua Zhou Rui Zhang Rui zhang Jie Sun 29 50 0 12 Nov 2022
RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction Yanyan Shen Lifan Zhao Weiyu Cheng Zibin Zhang Wenwen Zhou Kangyi Lin 34 5 0 28 Oct 2022